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Related publications (16)

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Decision boundary

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Boosting likelihood learning with event reweighting

Error scaling laws for kernel classification under source and capacity conditions

Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

Semi-Supervised Novelty Detection using SVM entire solution path

A Pareto-Compliant Surrogate Approach for Multiobjective Optimization

A Mono Surrogate for Multiobjective Optimization

Verification of Aging Faces Using Local Ternary Patterns and Q-Stack Classifier

Promoting diversity in Gaussian mixture ensembles: an application to signature verification

Classification with class-independent quality information for biometric verification

Boosting likelihood learning with event reweighting

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Classification with class-independent quality information for biometric verification

Semi-Supervised Novelty Detection using SVM entire solution path

Error scaling laws for kernel classification under source and capacity conditions

A Pareto-Compliant Surrogate Approach for Multiobjective Optimization

A Mono Surrogate for Multiobjective Optimization

Verification of Aging Faces Using Local Ternary Patterns and Q-Stack Classifier

Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

Promoting diversity in Gaussian mixture ensembles: an application to signature verification